Data Steward: Elevate Product Data Quality & Syndication

AgileEngine, LLC.

Warszawa

Hybrid

PLN 261,000 - 372,000

Full time

8 days ago

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Benefits offered by this job

Professional growth
Competitive compensation
Exciting projects
Flextime

Job summary

AgileEngine is seeking a Data Steward who will own how product information moves from business teams to market — validating, enriching, and syndicating data through inRiver across every channel it touches. It's a cross-functional role with real breadth: resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel-ready for launches.

If you take pride in data quality and want visibility across the full product data lifecycle, this is for you.

Qualifications

  • 3+ years of experience in data management.
  • Understanding of data lifecycle.
  • Experience with multiple tools for data management and stewardship.
  • Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo).
  • Experience with PIM syndication for retailers or marketplaces.
  • Proficiency in Excel.
  • Ability to work under tight deadlines.

Responsibilities

  • Validate product data across core systems for completeness and accuracy.
  • Upload product data into PIM systems and resolve data gaps with stakeholders.
  • Support business teams with product data issues across channels.
  • Communicate data requirements to stakeholders for data quality aligned with product launch timelines.
  • Create, track, and report on product data and launch status.
  • Maintain and reconfigure syndication templates in inRiver.

Skills

Data management
Data lifecycle
PIM tools
Excel
inRiver
Salsify
Informatica
Akeneo
Data stewardship

Tools

inRiver
Salsify
Informatica
Akeneo

Job description

AgileEngine is seeking a Data Steward who will own how product information moves from business teams to market — validating, enriching, and syndicating data through inRiver across every channel it touches. It's a cross-functional role with real breadth: resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel-ready for launches.

If you take pride in data quality and want visibility across the full product data lifecycle, this is for you.

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